RTL Designer - Physical AI Compute

Role Overview

We are looking for talented RTL Engineers to help build Velaura's next-generation Physical AI SoC. In this role, you will work closely with architects, performance modelers, software engineers, verification engineers, and physical design teams to transform innovative architectural concepts into production silicon. You will own significant portions of the design, contribute to microarchitectural decisions, and help deliver high-performance, power-efficient hardware that enables the next generation of intelligent physical systems. We welcome engineers at all experience levels who are

passionate about building great hardware and solving challenging technical problems.

Responsibilities

Design, implement, and optimize RTL for key portions of the Velaura SoC.

Collaborate with architects to develop robust and efficient microarchitectures.

Participate in hardware/software co-design discussions spanning AI workloads, memory systems, runtime software, and system architecture.

Work with software teams to define hardware interfaces, execution flows, memory hierarchies, and performance-critical interactions.

Contribute to compute engines, memory subsystems, interconnect fabrics, control processors, DMA engines, power-management logic, and other core SoC infrastructure.

Optimize designs for performance, power, area, scalability, and reliability.

Partner closely with verification and physical design teams throughout the development cycle.

Analyze performance bottlenecks and propose architectural and implementation improvements.

Leverage modern engineering tools, including AI-assisted development workflows, to improve productivity, quality, and design exploration.

Participate in design reviews and contribute to a culture of technical excellence.

Required Qualifications

Experience designing RTL for complex digital systems.

Strong understanding of computer architecture, microarchitecture, and digital design fundamentals.

Experience with Verilog/SystemVerilog and modern RTL design methodologies.

Familiarity with performance, power, and area tradeoffs.

Understanding of memory systems, interconnects, caches, DMA engines, or accelerator architectures.

Experience with hardware/software co-design and system-level performance optimization.

Strong debugging and problem-solving skills.

Ability to work effectively in a collaborative, multidisciplinary engineering environment.

Preferred Qualifications

Experience with AI, machine learning, or edge AI hardware.

Familiarity with robotics, drones, autonomous vehicles, or industrial automation systems.

Knowledge of low-power design techniques and power management architectures.

Exposure to performance modeling, emulation, FPGA prototyping, or silicon bring-up.

Experience using modern AI tools and workflows to accelerate engineering productivity.

Background in CPUs, GPUs, AI accelerators, networking and communications silicon, storage and data movement architectures, robotics and autonomous systems, automotive and advanced driver-assistance systems (ADAS),

aerospace and defense systems, real-time and safety-critical computing, or functional safety architectures and methodologies.

$125,000 - $500,000 a year

Compensation & Benefits

At Velaura, we believe exceptional talent deserves exceptional rewards. Compensation for this role includes a competitive base salary, performance-based incentives, and equity participation, allowing team members to share in the company's long-term success.

Your base pay will depend on your skills, qualifications, experience, and location.

In addition to compensation, Velaura offers a comprehensive benefits package that may include medical, dental, and vision coverage; paid time off; flexible work arrangements; professional development opportunities; and other benefits designed to support the well-being and growth of our team.

Velaura is committed to pay equity and transparency and regularly benchmarks compensation to ensure we remain competitive in the market.

Why Velaura?

Velaura is building next-generation compute technology for cloud, edge, and Physical AI. Our solutions will enable robots, autonomous systems, drones, and other intelligent machines to operate efficiently in the physical world.

This is an opportunity to help build foundational technology at a time when the industry is undergoing fundamental change. You will work alongside experienced leaders, architects, engineers, and operators who have delivered industry-defining products across mobile, cloud, semiconductor, and AI platforms. If you enjoy solving difficult problems, working across disciplines, and helping shape the future of Physical AI, we would love to hear from you.

Equal Employment Opportunity and Accommodations

Velaura is an Equal Opportunity Employer that is committed to inclusion and diversity. Qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, disability or protected veteran status. We also take affirmative action to offer employment

opportunities to minorities, women, individuals with disabilities, and protected veterans.

Velaura is committed to working with qualified individuals with physical or mental disabilities. Applicants who would like to contact us regarding the accessibility of our website or who need special assistance or a reasonable accommodation for any part of the application or hiring process may contact us at: [email protected]. This contact

information is for accommodation requests only. Evaluation of requests for reasonable accommodation will be determined on a case-by-case basis.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.